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Retracted: Texture Image Classification Method of Porcelain Fragments Based on Convolutional Neural Network

Detalles Bibliográficos
Autor principal: Intelligence and Neuroscience, Computational
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396551/
https://www.ncbi.nlm.nih.gov/pubmed/37538710
http://dx.doi.org/10.1155/2023/9767929
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author Intelligence and Neuroscience, Computational
author_facet Intelligence and Neuroscience, Computational
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spelling pubmed-103965512023-08-03 Retracted: Texture Image Classification Method of Porcelain Fragments Based on Convolutional Neural Network Intelligence and Neuroscience, Computational Comput Intell Neurosci Retraction Hindawi 2023-07-26 /pmc/articles/PMC10396551/ /pubmed/37538710 http://dx.doi.org/10.1155/2023/9767929 Text en Copyright © 2023 Computational Intelligence and Neuroscience. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Retraction
Intelligence and Neuroscience, Computational
Retracted: Texture Image Classification Method of Porcelain Fragments Based on Convolutional Neural Network
title Retracted: Texture Image Classification Method of Porcelain Fragments Based on Convolutional Neural Network
title_full Retracted: Texture Image Classification Method of Porcelain Fragments Based on Convolutional Neural Network
title_fullStr Retracted: Texture Image Classification Method of Porcelain Fragments Based on Convolutional Neural Network
title_full_unstemmed Retracted: Texture Image Classification Method of Porcelain Fragments Based on Convolutional Neural Network
title_short Retracted: Texture Image Classification Method of Porcelain Fragments Based on Convolutional Neural Network
title_sort retracted: texture image classification method of porcelain fragments based on convolutional neural network
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396551/
https://www.ncbi.nlm.nih.gov/pubmed/37538710
http://dx.doi.org/10.1155/2023/9767929
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